Whakapānga Whānui ki te Wetereo
Ka tahuri te kōrero ki te kupu me te whakarerekētanga AI-powered. Whakaputa i ngā faila oro, whakataki i te pūoro, whakataki rānei i tētahi URL. 100+ reo, 10+ tauira, 98%+ te tika.
1. Whakahauhau i te Whakahautanga Whakakōrero
Whakataki i tētahi pūoro, he faila ataata rānei, te tāpiri i tētahi URL, te whakataki rānei i tētahi kōrero mai i tōmu pūoro.
2. Ka tahuri te AI i te kōrero ki te kuputuhi
Ka kōwhiria mai i ngā tauira AI 10+ Ka whakaurua te kite kaikōrero me te kite ā-ringa reo.
3. Ka whakawātea i tō tātou whakamāoritanga
Whakataki i roto i ngā āhua 6. Whakawhitinga ngā pātahitanga whakahua me te whakaterenga oro.
Whakawhitiwhiti ki ngā tauira kupu
Hiko te tauira AI e ōrite ana ki o tātou hiahia - ka taea rānei e tātau te kōwhiri i te tino pai rawa.
Whakawhitinga ki te kupu i roto i ngā reo 100+
Ka whakamahia te kōrero ki ngā take tuhituhi
E whakaritea ana hei tahuri i te kōrero ki te kupu?
Ka tīmata te wātea →E pā ana ngā pātai
Ka tahuri ā-tuhi te kōrero (e kiia ana hoki ko te mōhiotanga kōrero, ASR rānei) i ngā oro kōrero ki ngā kupu tuhituhi. E whakahaeretia ana e te STT.ai tō tātau pūkete mā tētahi tauira AI e whakarongo ana i te oro me te huaputa o te kupu whakarārangi me ngā tātaitai wā me ngā tohu kōrero — kāore e hiahiatia ana te tātaitai.
Ka whakarārangitia e tētahi tauira ā-waha te āhua o te ngaru o te oro ki ngā pūoro, kātahi ka whakarārangitia e tētahi tauira reo ki ngā kupu me ngā tohu whakarārangi tino āhua nei. Ka mahi tēnei te STT.ai i runga i te GPU me ngā tauira pēnei i te Whisper Large V3 me te NVIDIA Canary, kia taea ai te whakataki o tētahi wā kotahi i roto i ngā minu 2–3.
He. Ka whiwhi te kaiwhaiwhai i ngā minu 600 wātea i ia marama me te kore whakaingoatanga e hiahiatia ana mō tō tātau pūranga tuatahi. Ka tīmata ngā mahere utu i te $5/whā, ā, ka tāpiri i ngā pūranga roa ake, ngā tāruatanga tūmataiti, me te tukatuka ā-wāhanga.
On clean speech our best models reach 95-97% accuracy (a 3-5% Word Error Rate on benchmarks). Accuracy drops with background noise, heavy accents, crosstalk, or low-bitrate audio — using a decent microphone and a quiet room makes the biggest difference.
Yes. Speak into your microphone and STT.ai streams the transcript live via the live-transcription tool. You can also upload a finished recording for batch transcription if you don't need it word-by-word as you talk.
STT.ai recognizes 100+ languages and auto-detects the spoken language for most audio. You can also set the language manually for a small accuracy lift, and mixed-language recordings are handled by switching mid-clip.
Yes. Speaker diarization labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the editor. This works across every supported model and language.
STT.ai accepts 20+ formats including MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, and AVI. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.
Speech to text transcribes WHAT was said into words; voice recognition (speaker identification) determines WHO said it. STT.ai does both — transcription plus speaker diarization — but the terms describe different tasks.
Yes. Audio is processed and deleted by default. Pro plans add client-side encryption so transcripts are unreadable without your key, even to STT.ai, and your data is never used for model training without explicit opt-in.
Yes. STT.ai has a REST API with Python and Node.js SDKs plus an MCP server for Claude and Cursor. The free API tier includes 100 minutes/month, with per-second billing beyond that.
Yes. Every transcript opens in a built-in editor where you can fix misheard words, rename speakers, adjust timestamps, and add notes. Edits persist across every export format.